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桂西地区不同林龄栎类群落的生物量及其分配格局
引用本文:张 浩,宋同清,王克林,朱宏光,温远光,彭晚霞,杜 虎,谭秋锦,欧阳贝思,曾馥平.桂西地区不同林龄栎类群落的生物量及其分配格局[J].农业现代化研究,2013,34(6):758-762.
作者姓名:张 浩  宋同清  王克林  朱宏光  温远光  彭晚霞  杜 虎  谭秋锦  欧阳贝思  曾馥平
作者单位:中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;广西大学林学院,广西 南宁 530004;广西大学林学院,广西 南宁 530004;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125;中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室,湖南 长沙 410125
基金项目:中国科学院战略性先导科技专项(编号:XDA05050205, XDA05070404);中国科学院西部行动计划项目(编号:KZCX2-XB3-10);国家科技支撑计划(编号:2010BAE00739);国家自然科学基金项目(编号:31070425,31000224,30970508、U1033004、31100329)及广西特聘专家项目共同资助。
摘    要:根据5个不同林龄15块1000m2样地的调查资料,利用15株不同林龄和径阶的栎类样木数据,建立以胸径平方乘以树高(D2H)为单变量的生物量估算模型。采用样木回归分析法(乔木层)和样方收获法(灌木层、草本层、地上凋落物)获取不同林龄栎类的生物量,并分析了其组成、分配特征及不同林龄生物量的变化趋势。结果表明:栎类林分的总生物量随林龄而增加,5个不同林龄的生物量分别为73.67Mg/hm2、127.47Mg/hm2、149.93Mg/hm2、169.90Mg/hm2、200.65Mg/hm2,其中活体植物的贡献达95.58%以上,地上凋落物的总量不超过4.42%;生物量的层次分配方面乔木层占绝对优势,占93.66%-98.68%,其次为地上凋落物,占1.02%-4.42%,灌木层和草本层生物量较小,分别占0.20%-2.13%和0.03%-0.27%,均随林龄的增加呈递减趋势;乔木层器官分配以干所占比例最高,占46.64%-80.78%,且随林龄而增加,枝、叶、根分别占11.61%-36.80%、1.00%-4.85%和6.61%-11.71%,均随林龄而下降;灌木层器官分配以枝所占比例最高,为32.50%-69.07%,叶和根分别占12.89%-25.00%和18.04%-42.50%;不同林龄栎类草本层生物量大小与林龄成反比例关系,地上部分的生物量大于地下部分的生物量。随着林龄的增加,凋落物呈现升→降→升的趋势。以上研究结果表明,林龄可以影响桂西地区栎类的生物量和分配格局。

关 键 词:栎类  生物量  林龄  估算模型  分配格局
收稿时间:2013/6/26 0:00:00
修稿时间:2013/10/11 0:00:00

Oak Biomass and Its Allocation at Different Stand Ages in West of Guangxi, China
ZHANG Hao,SONG Tong-qing,WANG Ke-lin,ZHU Hong-guang,WEN Yuan-guang,PENG Wan-xi,DU Hu,TAN Qiu-jin,OUYANG Bei-si and ZENG Fu-ping.Oak Biomass and Its Allocation at Different Stand Ages in West of Guangxi, China[J].Research of Agricultural Modernization,2013,34(6):758-762.
Authors:ZHANG Hao  SONG Tong-qing  WANG Ke-lin  ZHU Hong-guang  WEN Yuan-guang  PENG Wan-xi  DU Hu  TAN Qiu-jin  OUYANG Bei-si and ZENG Fu-ping
Institution:Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;College of Forestry, Guangxi University, Nanning, Guangxi 530004, China;College of Forestry, Guangxi University, Nanning, Guangxi 530004, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China;Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, China
Abstract:Biomass estimation model for single variable (square of high tree diameter multiply by height at breast, D2H) was established based on 15oak wood of different age, size order and 15pieces of sample survey data of 1000m2at five different forest ages. We obtained oak biomass of different forest ages by using regression analysis (tree layer) and the method of quadrat harvest (shrub layer, herb layer, litter on the ground), and analyzed the composition, distribution characteristics and change tendency of different forest age biomass. The results showed that the oak biomass increased with forest age and biomass of five different age were 73.67Mg/hm2,7.47Mg/hm2,9.93Mg/hm2,9.90Mg/hm2and 200.65Mg/hm2respectively. In total biomass, living plants accounted more than 95.58% and that of litter less than 4.42%. As for level distribution of biomass, the total biomass was dominated tree layer (accounting for 93.66% - 98.68% of total biomass). Then, it was followed by litter on the ground (accounting for 1.02% - 4.42%), and the shrub layer and herb layer biomass, which accounting for 0.20% - 2.13% and 0.03% - 2.13% respectively. As for organ allocation at tree layer, stem accounted for 46.64% - 80.78% of oak biomass and increases with forest age, while branch, leaf, root for 11.61%- 36.80% , 1.00%- 4.85% and 6.61% - 11.71% respectively. At the shrub layer, branch was highest, which accounting for 32.50%- 69.07% of shrub biomass, and leaf and root accounted for 12.89% - 25.00% and 18.04% - 42.50% respectively. As for herb layer, the biomass was inversed for forest age and above biomass was greater than that of underground. With the increasing of forest age, litter biomass showed the change trend of up - down - up. Briefly, it was implied that the biomass and allocation pattern of Oak could be affected by stand ages in west of Guangxi, China.
Keywords:
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